139 lines
6.9 KiB
Python
139 lines
6.9 KiB
Python
"""add pmflow ai threads and messages
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Revision ID: 20260513_add_pmflow_ai_threads
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Revises: 20260513_merge_pmflow_agent_runtime_heads
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Create Date: 2026-05-13
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"""
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from __future__ import annotations
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from alembic import op
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import sqlalchemy as sa
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revision = "20260513_add_pmflow_ai_threads"
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down_revision = "20260513_merge_pmflow_agent_runtime_heads"
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branch_labels = None
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depends_on = None
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def _json_type():
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bind = op.get_bind()
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if bind.dialect.name == "postgresql":
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from sqlalchemy.dialects import postgresql
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return postgresql.JSONB()
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return sa.JSON()
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def _table_exists(table_name: str) -> bool:
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return sa.inspect(op.get_bind()).has_table(table_name)
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def _column_exists(table_name: str, column_name: str) -> bool:
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if not _table_exists(table_name):
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return False
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inspector = sa.inspect(op.get_bind())
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return any(item.get("name") == column_name for item in inspector.get_columns(table_name))
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def _index_exists(table_name: str, index_name: str) -> bool:
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if not _table_exists(table_name):
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return False
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inspector = sa.inspect(op.get_bind())
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return any(item.get("name") == index_name for item in inspector.get_indexes(table_name))
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def _create_index_once(index_name: str, table_name: str, columns: list[str]) -> None:
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if _table_exists(table_name) and not _index_exists(table_name, index_name):
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op.create_index(index_name, table_name, columns)
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def _base_columns() -> list[sa.Column]:
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return [
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sa.Column("tenant_id", sa.BigInteger(), nullable=False, server_default="1"),
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sa.Column("created_at", sa.TIMESTAMP(), nullable=False, server_default=sa.text("now()")),
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sa.Column("updated_at", sa.TIMESTAMP(), nullable=False, server_default=sa.text("now()")),
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]
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def upgrade() -> None:
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json_type = _json_type()
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if not _table_exists("pmflow_ai_threads"):
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op.create_table(
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"pmflow_ai_threads",
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sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
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sa.Column("public_thread_id", sa.String(length=80), nullable=False),
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sa.Column("user_id", sa.BigInteger(), sa.ForeignKey("users.id"), nullable=True),
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sa.Column("qa_session_id", sa.BigInteger(), sa.ForeignKey("qa_sessions.id", ondelete="SET NULL"), nullable=True),
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sa.Column("workspace_scope", sa.String(length=80), nullable=True),
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sa.Column("surface", sa.String(length=80), nullable=True),
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sa.Column("title", sa.String(length=240), nullable=False, server_default="PMFlow AI"),
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sa.Column("status", sa.String(length=32), nullable=False, server_default="active"),
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sa.Column("current_object_refs", json_type, nullable=True),
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sa.Column("last_run_public_id", sa.String(length=80), nullable=True),
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sa.Column("last_message_preview", sa.Text(), nullable=True),
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sa.Column("message_count", sa.Integer(), nullable=False, server_default="0"),
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sa.Column("thread_metadata", json_type, nullable=True),
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sa.Column("started_at", sa.TIMESTAMP(), nullable=True),
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sa.Column("last_message_at", sa.TIMESTAMP(), nullable=True),
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*_base_columns(),
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sa.UniqueConstraint("tenant_id", "public_thread_id", name="uq_pmflow_ai_threads_tenant_public_thread_id"),
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)
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_create_index_once("ix_pmflow_ai_threads_tenant_id", "pmflow_ai_threads", ["tenant_id"])
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_create_index_once("ix_pmflow_ai_threads_public_thread_id", "pmflow_ai_threads", ["public_thread_id"])
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_create_index_once("ix_pmflow_ai_threads_user_id", "pmflow_ai_threads", ["user_id"])
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_create_index_once("ix_pmflow_ai_threads_qa_session_id", "pmflow_ai_threads", ["qa_session_id"])
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_create_index_once("ix_pmflow_ai_threads_workspace_scope", "pmflow_ai_threads", ["workspace_scope"])
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_create_index_once("ix_pmflow_ai_threads_status", "pmflow_ai_threads", ["status"])
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_create_index_once("ix_pmflow_ai_threads_last_run_public_id", "pmflow_ai_threads", ["last_run_public_id"])
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_create_index_once("ix_pmflow_ai_threads_started_at", "pmflow_ai_threads", ["started_at"])
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_create_index_once("ix_pmflow_ai_threads_last_message_at", "pmflow_ai_threads", ["last_message_at"])
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if _table_exists("pmflow_agent_runs") and not _column_exists("pmflow_agent_runs", "thread_id"):
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op.add_column("pmflow_agent_runs", sa.Column("thread_id", sa.BigInteger(), nullable=True))
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op.create_foreign_key(
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"fk_pmflow_agent_runs_thread_id_pmflow_ai_threads",
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"pmflow_agent_runs",
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"pmflow_ai_threads",
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["thread_id"],
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["id"],
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ondelete="SET NULL",
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)
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_create_index_once("ix_pmflow_agent_runs_thread_id", "pmflow_agent_runs", ["thread_id"])
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if not _table_exists("pmflow_ai_messages"):
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op.create_table(
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"pmflow_ai_messages",
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sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
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sa.Column("thread_id", sa.BigInteger(), sa.ForeignKey("pmflow_ai_threads.id", ondelete="CASCADE"), nullable=False),
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sa.Column("public_message_id", sa.String(length=80), nullable=False),
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sa.Column("role", sa.String(length=24), nullable=False),
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sa.Column("message_index", sa.Integer(), nullable=False, server_default="0"),
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sa.Column("run_public_id", sa.String(length=80), nullable=True),
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sa.Column("qa_record_id", sa.BigInteger(), sa.ForeignKey("qa_records.id", ondelete="SET NULL"), nullable=True),
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sa.Column("content", sa.Text(), nullable=False, server_default=""),
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sa.Column("message_payload", json_type, nullable=True),
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sa.Column("sent_at", sa.TIMESTAMP(), nullable=True),
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*_base_columns(),
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sa.UniqueConstraint("tenant_id", "thread_id", "public_message_id", name="uq_pmflow_ai_messages_tenant_thread_public_message"),
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)
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_create_index_once("ix_pmflow_ai_messages_tenant_id", "pmflow_ai_messages", ["tenant_id"])
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_create_index_once("ix_pmflow_ai_messages_thread_id", "pmflow_ai_messages", ["thread_id"])
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_create_index_once("ix_pmflow_ai_messages_public_message_id", "pmflow_ai_messages", ["public_message_id"])
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_create_index_once("ix_pmflow_ai_messages_role", "pmflow_ai_messages", ["role"])
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_create_index_once("ix_pmflow_ai_messages_message_index", "pmflow_ai_messages", ["message_index"])
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_create_index_once("ix_pmflow_ai_messages_run_public_id", "pmflow_ai_messages", ["run_public_id"])
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_create_index_once("ix_pmflow_ai_messages_qa_record_id", "pmflow_ai_messages", ["qa_record_id"])
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_create_index_once("ix_pmflow_ai_messages_sent_at", "pmflow_ai_messages", ["sent_at"])
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def downgrade() -> None:
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if _table_exists("pmflow_ai_messages"):
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op.drop_table("pmflow_ai_messages")
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if _table_exists("pmflow_agent_runs") and _column_exists("pmflow_agent_runs", "thread_id"):
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op.drop_column("pmflow_agent_runs", "thread_id")
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if _table_exists("pmflow_ai_threads"):
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op.drop_table("pmflow_ai_threads")
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